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mradermacher/darwin-35b-a3b-opus-gguf Q6_K GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

mradermacher/darwin-35b-a3b-opus-gguf overview

About static quants of https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF

transformersggufmergeevolutionary-mergedarwindarwin-v5model-mrireasoningadvanced-reasoningchain-of-thoughtthinkingqwen3.5qwenmoemixture-of-expertsclaude-opusdistillationmultimodalvision-languagemultilingualgpqabenchmarkopen-sourceapache-2.0layer-wise-mergemoe-mergedead-expert-revivalcoding-agenttool-callinglong-context
mradermacher/darwin-35b-a3b-opus-gguf visual
Downloads
2,981
Likes
3
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

13 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Darwin-35B-A3B-Opus.IQ4_XS.gguf GGUF IQ4_XS 17.64 GB Download
Darwin-35B-A3B-Opus.Q2_K.gguf GGUF Q2_K 12.05 GB Download
Darwin-35B-A3B-Opus.Q3_K_L.gguf GGUF Q3_K_L 16.87 GB Download
Darwin-35B-A3B-Opus.Q3_K_M.gguf GGUF Q3_K_M 15.61 GB Download
Darwin-35B-A3B-Opus.Q3_K_S.gguf GGUF Q3_K_S 14.14 GB Download
Darwin-35B-A3B-Opus.Q4_K_M.gguf GGUF Q4_K_M 19.71 GB Download
Darwin-35B-A3B-Opus.Q4_K_S.gguf GGUF Q4_K_S 18.52 GB Download
Darwin-35B-A3B-Opus.Q5_K_M.gguf GGUF Q5_K_M 23.03 GB Download
Darwin-35B-A3B-Opus.Q5_K_S.gguf GGUF Q5_K_S 22.33 GB Download
Darwin-35B-A3B-Opus.Q6_K.gguf GGUF Q6_K 26.56 GB Download
Darwin-35B-A3B-Opus.Q8_0.gguf GGUF 34.37 GB Download
Darwin-35B-A3B-Opus.mmproj-Q8_0.gguf GGUF 585.74 MB Download
Darwin-35B-A3B-Opus.mmproj-f16.gguf GGUF F16 857.62 MB Download

Model Details Live

Model Slug
mradermacher/darwin-35b-a3b-opus-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-04-01
Last Modified
2026-04-04
Gated
No
Private
No
HF SHA
3860289e4aed7cbdcdf0ce0b30ad56a601b30a7d
License
apache-2.0
Language
en, zh, ko, ja, de, fr, es, ru, ar, multilingual
Base Model
FINAL-Bench/Darwin-35B-A3B-Opus

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "FINAL-Bench/Darwin-35B-A3B-Opus",
    "language": [
      "en",
      "zh",
      "ko",
      "ja",
      "de",
      "fr",
      "es",
      "ru",
      "ar",
      "multilingual"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "merge",
      "evolutionary-merge",
      "darwin",
      "darwin-v5",
      "model-mri",
      "reasoning",
      "advanced-reasoning",
      "chain-of-thought",
      "thinking",
      "qwen3.5",
      "qwen",
      "moe",
      "mixture-of-experts",
      "claude-opus",
      "distillation",
      "multimodal",
      "vision-language",
      "multilingual",
      "gpqa",
      "benchmark",
      "open-source",
      "apache-2.0",
      "layer-wise-merge",
      "moe-merge",
      "dead-expert-revival",
      "coding-agent",
      "tool-calling",
      "long-context",
      "262k-context"
    ],
    "frontmatter": {
      "base_model": "FINAL-Bench/Darwin-35B-A3B-Opus",
      "language": [
        "en",
        "zh",
        "ko",
        "ja",
        "de",
        "fr",
        "es",
        "ru",
        "ar",
        "multilingual"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "merge",
        "evolutionary-merge",
        "darwin",
        "darwin-v5",
        "model-mri",
        "reasoning",
        "advanced-reasoning",
        "chain-of-thought",
        "thinking",
        "qwen3.5",
        "qwen",
        "moe",
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        "claude-opus",
        "distillation",
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        "benchmark",
        "open-source",
        "apache-2.0",
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        "262k-context"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: FINAL-Bench/Darwin-35B-A3B-Opus\nlanguage:\n- en\n- zh\n- ko\n- ja\n- de\n- fr\n- es\n- ru\n- ar\n- multilingual\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- merge\n- evolutionary-merge\n- darwin\n- darwin-v5\n- model-mri\n- reasoning\n- advanced-reasoning\n- chain-of-thought\n- thinking\n- qwen3.5\n- qwen\n- moe\n- mixture-of-experts\n- claude-opus\n- distillation\n- multimodal\n- vision-language\n- multilingual\n- gpqa\n- benchmark\n- open-source\n- apache-2.0\n- layer-wise-merge\n- moe-merge\n- dead-expert-revival\n- coding-agent\n- tool-calling\n- long-context\n- 262k-context\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Darwin-35B-A3B-Opus-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.mmproj-f16.gguf) | mmproj-f16 | 1.0 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q2_K.gguf) | Q2_K | 13.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q3_K_S.gguf) | Q3_K_S | 15.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q3_K_M.gguf) | Q3_K_M | 16.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q3_K_L.gguf) | Q3_K_L | 18.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.IQ4_XS.gguf) | IQ4_XS | 19.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q4_K_S.gguf) | Q4_K_S | 20.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q4_K_M.gguf) | Q4_K_M | 21.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q5_K_S.gguf) | Q5_K_S | 24.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q5_K_M.gguf) | Q5_K_M | 24.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q6_K.gguf) | Q6_K | 28.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF/resolve/main/Darwin-35B-A3B-Opus.Q8_0.gguf) | Q8_0 | 37.0 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "merge",
    "evolutionary-merge",
    "darwin",
    "darwin-v5",
    "model-mri",
    "reasoning",
    "advanced-reasoning",
    "chain-of-thought",
    "thinking",
    "qwen3.5",
    "qwen",
    "moe",
    "mixture-of-experts",
    "claude-opus",
    "distillation",
    "multimodal",
    "vision-language",
    "multilingual",
    "gpqa",
    "benchmark",
    "open-source",
    "apache-2.0",
    "layer-wise-merge",
    "moe-merge",
    "dead-expert-revival",
    "coding-agent",
    "tool-calling",
    "long-context",
    "262k-context",
    "en",
    "zh",
    "ko",
    "ja",
    "de",
    "fr",
    "es",
    "ru",
    "ar",
    "base_model:FINAL-Bench/Darwin-35B-A3B-Opus",
    "base_model:quantized:FINAL-Bench/Darwin-35B-A3B-Opus",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 3,
  "downloads": 2981,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-04T06:40:14.000Z",
  "created_at": "2026-04-01T12:14:49.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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